35,482 research outputs found

    The Shadows of Life: Medicaid\u27s Failure of Health Care\u27s Moral Test

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    North Carolina Medicaid covers one-fifth of the state’s population and makes up approximately one-third of the budget. Yet the state has experienced increasing costs and worsening health outcomes over the past decade, while socioeconomic disparities persist among communities. In this article, the authors explore the factors that influence these trends and provide a series of policy lessons to inform the state’s current reform efforts following the recent approval of North Carolina’s Section 1115 waiver by the Centers for Medicare and Medicaid Services. The authors used health, social, and financial data from the state Department of Health and Human Services, the Robert Wood Johnson Foundation, and the University of North Carolina to identify the highest cost counties in North Carolina. They found higher per beneficiary spending to be inversely related to population health, with many counties with the most expensive beneficiaries also reporting poor health outcomes. These trends appear to be attributed to a breakdown in access to basic health services, with high cost counties often lacking adequate numbers of health care providers and possessing limited health care services, leading patients to primarily engage the health care system in a reactive manner and predominantly in institutional care settings. To illustrate this pattern, the authors developed case studies of Tyrrell County and Graham County, which respectively are home to the state’s worst health outcomes and most expensive Medicaid beneficiaries. The authors combined stories of these counties with the larger historical trends to offer policy recommendations to help reorient North Carolina Medicaid around patient needs. The results shed light on traditionally understudied hotspots of cost and poor outcomes in North Carolina, while proposing tangible steps to support reform

    Risk of hypertension with bevacizumab, an antibody against vascular endothelial growth factor A: a systematic review and meta-analysis

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    Bevacizumab, a humanized antibody against VEGF, is effective in the treatment of patients with many cancers. However, as with many therapeutic agents, significant side effects are associated with bevacizumab, Hypertension is one of the predominant toxicity. We performed a systematic review and meta-analysis of published clinical trials of bevacizumab to quantify the risk of hypertension. 15 studies following PRISMA guidelines and matching inclusion and exclusion criteria were collected in which a group of patients were either treated with Bevacizumab and a concurrent chemotherapy and another group treated with Placebo and the same chemotherapy. Relative risk (RR) was calculated. P<0.05 was considered statistically significant. RevMan 5.3 software was used for the analysis. A total of 13,070 patients were included. Bevacizumab was associated with a significant increased risk of overall hypertension (RR=3.509; 95% C.I:2.451 to 5.023). 11 trials are included for determining the risk of Grade 3 hypertension including 8799 patients with a significant increased risk (RR=3.909; 95%C.I:1.983 to 7.707). 7 trials are included for determining the risk of hypertension at low dose (2.5 mg/kg/cycle) including 3691 patients associated with a significant increased (RR=2.640; 95%C.I: 1.408 to 4.950). 10 trials are included for determining the risk of hypertension at high dose (5 mg/kg/cycle) including 9379 patients associated with a significant (RR=4.036; 95%C.I: 2.948 to 5.525). Our meta-analysis has demonstrated that bevacizumab may be associated with a significantly increased risk of hypertension in patient with a variety of metastatic solid tumors irrespective of dosing

    Probabilistic sizing of laminates with uncertainties

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    A reliability based design methodology for laminate sizing and configuration for a special case of composite structures is described. The methodology combines probabilistic composite mechanics with probabilistic structural analysis. The uncertainties of constituent materials (fiber and matrix) to predict macroscopic behavior are simulated using probabilistic theory. Uncertainties in the degradation of composite material properties are included in this design methodology. A multi-factor interaction equation is used to evaluate load and environment dependent degradation of the composite material properties at the micromechanics level. The methodology is integrated into a computer code IPACS (Integrated Probabilistic Assessment of Composite Structures). Versatility of this design approach is demonstrated by performing a multi-level probabilistic analysis to size the laminates for design structural reliability of random type structures. The results show that laminate configurations can be selected to improve the structural reliability from three failures in 1000, to no failures in one million. Results also show that the laminates with the highest reliability are the least sensitive to the loading conditions
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